Minqi Hu

ORCID: 0000-0002-9716-4735
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About
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Research Areas
  • Marine and coastal ecosystems
  • Aquatic Ecosystems and Phytoplankton Dynamics
  • Water Quality Monitoring and Analysis
  • Water Quality and Pollution Assessment
  • Water Quality Monitoring Technologies
  • Fish Ecology and Management Studies
  • Environmental Changes in China
  • Land Use and Ecosystem Services
  • Traumatic Ocular and Foreign Body Injuries
  • Flood Risk Assessment and Management
  • Remote Sensing and Land Use
  • Hydrology and Watershed Management Studies
  • Oil Spill Detection and Mitigation
  • Water Resources and Management
  • Satellite Image Processing and Photogrammetry
  • Remote Sensing in Agriculture
  • Safety Warnings and Signage
  • Environmental Conservation and Management
  • Traffic and Road Safety
  • Oceanographic and Atmospheric Processes
  • Calibration and Measurement Techniques
  • Groundwater and Watershed Analysis
  • Microwave Imaging and Scattering Analysis
  • Synthesis and biological activity
  • Traffic control and management

Nanjing Institute of Geography and Limnology
2017-2025

Chinese Academy of Sciences
2017-2025

State Key Laboratory of Lake Science and Environment
2025

Air Force Medical University
2024

Xijing Hospital
2024

University of Chinese Academy of Sciences
2017-2022

Institute of Geographic Sciences and Natural Resources Research
2021

East China Normal University
2020

Southeast University
2019

Ministry of Public Security of the People's Republic of China
2019

Satellite remote sensing can be an effective alternative for mapping cyanobacterial scums and aquatic macrophyte distribution over large areas compared with traditional ship’s site-specific samplings. However, similar optical spectra characteristics between macrophytes in red near infrared (NIR) wavebands create a barrier to their discrimination when they co-occur. We developed new cyanobacteria index (CMI) based on blue, green, shortwave band separate waters from those dominated by...

10.3390/rs9020133 article EN cc-by Remote Sensing 2017-02-06

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10.2139/ssrn.5093774 preprint EN 2025-01-01

Algal blooms in eutrophic lakes have been a global issue to environmental ecology. Although great progress on prevention and control of algae made many lakes, systematic research long-term temporal-spatial dynamics drivers algal plateau Lake Dianchi is so far insufficient. Therefore, the pixel-growing algorithm (APA) was used accurately identify bloom areas at sub-pixel level Moderate Resolution Imaging Spectroradiometer (MODIS) data from 2000 2018. The results showed that were observed all...

10.3390/rs11212582 article EN cc-by Remote Sensing 2019-11-04

Wind-speed decline is an important impact of climate change on the eastern Asian atmospheric circulation. Although wind does not determine algae biomass in eutrophic lakes, it a decisive factor formation and severity blooms. Based 2000–2018 MODIS images, this study compared effects speed algal blooms three typical lakes China: Lake Taihu, Chaohu Dianchi. The results indicate that has different but common effect vertical distribution algae. A 3.0 m/s was identified as critical threshold...

10.3390/rs13040800 article EN cc-by Remote Sensing 2021-02-22

Column-integrated algal biomass (CAB), represented by integrated Chlorophyll-a concentrations (Chla) throughout the water column, is indicative of overall for entire lake. The performance retrieval algorithms limited since previous research on CAB underestimate impact subsurface information. To enhance estimation in shallow lakes, an upper-to-lower method and a bivariate model were combined novel algorithm was applied to Lake Chaohu. Maximum Chlorophyll Index (MCI) outperformed other three...

10.1016/j.jag.2024.103670 article EN cc-by International Journal of Applied Earth Observation and Geoinformation 2024-01-31

Abstract Trophic state index (TSI) serves as a key indicator for quantifying and understanding the lake eutrophication, which has not been fully explored long-term water quality monitoring, especially small medium inland waters. Landsat satellites offer an effective complement to facilitate temporal spatial monitoring of multi-scale lakes. surface reflectance products were utilized retrieve annual average TSI 2693 lakes over 1 km 2 in China from 1984 2023. Our method first distinguishes...

10.1038/s41597-024-03506-7 article EN cc-by Scientific Data 2024-06-21

Remote monitoring of trophic state for inland waters is a hotspot water quality studies worldwide. However, the complex optical properties limit potential algorithms. This research aims to develop an algorithm estimate in waters. First, turbid index was applied determination types on each pixel, and bodies are divided into two categories: algae-dominated (Type I) II). The algal biomass (ABI) then established based classification derive (TSI) proposed by Carlson (1977). results showed...

10.3390/rs13101988 article EN cc-by Remote Sensing 2021-05-19

Coarse-resolution sensors have been used operationally to monitor floating algal blooms with near daily revisit in coastal and inland waters. Most of the current methods estimating fractional algae cover (FAC) were based on linear pixel un-mixing assumption. In this study, a new FAC model following logistic curve was developed applied multisensor satellite data two large shallow eutrophic lakes, Lake Taihu Chaohu, China. The results indicated that after resampling 250 m, match-up pairs MODIS...

10.1109/tgrs.2022.3224221 article EN IEEE Transactions on Geoscience and Remote Sensing 2022-01-01

The largest blue-green infrastructures in industrialized, urbanized and developed regions China are often multiuse wetlands, located just outside growing urban centers. These areas have multiple development pressures while providing environmental, economic, social benefits to the local regional populations. Given limited information available about tradeoffs ecosystem services with respect competing wetland uses, managers provincial decision makers face challenges regulating use of these...

10.3390/su13168710 article EN Sustainability 2021-08-04

Lake Chaohu has drawn increasing attention due to the occurrence of massive algal blooms. This study applied daily monitoring results from moderate-resolution imaging spectrum-radiometer (MODIS) satellite extract blooms with a floating index algorithm and characterize surface bloom dynamics in 2016 an algae pixel-growing algorithm. Combining water quality meteorological data, environmental driving forces were explored. The showed that cyanobacterial occurred throughout lake May November,...

10.13227/j.hjkx.201801057 article EN PubMed 2018-11-08

Optical complexity and various properties of Case 2 waters make it essential to derive inherent optical (IOPs) through an appropriate method. Based on field measured data Lake Chaohu between 2009 2018, the quasi-analytical algorithm (QAA) was modified for particular scenario that lake absorption coefficients based moderate-resolution imaging spectroradiometer (MODIS) bands. By changing reference wavelength longer ones building a relationship value spectral power particle backscattering...

10.3390/rs12121940 article EN cc-by Remote Sensing 2020-06-16

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10.2139/ssrn.4848576 preprint EN 2024-01-01

Due to the external environment and buoyancy of cyanobacteria, inhomogeneous vertical distribution phytoplankton in eutrophic lakes affects remote sensing reflectance (Rrs) inversion surface chlorophyll-a concentration (Chla). In this study, profiles Chla(z) (where z is water depth) field Rrs (Rrs_F) were collected utilized retrieve Chla Lake Chaohu China. was categorized into vertically uniform (Type 1: N = 166) non-uniform 2: 58) types. Based on validation atmospheric correction...

10.3390/rs16142611 article EN cc-by Remote Sensing 2024-07-17
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